# FewerJobs export - 100 curated jobs Generated: 2026-11-15T21:07:29.997Z Source: https://fewerjobs.com ## Filters applied - **q**: Adaptive - **quality_floor**: default - **match_401k_strict**: true - **parental_strict**: true - **non_birth_strict**: true - **pto_strict**: true - **include_older**: false - **apply_url_verified**: false - **page**: 2 - **per_page**: 100 - **sort**: relevance ## Jobs ### Benefits - Advanced Micro Devices - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Surrogacy assistance: yes (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://www.amd.com/en/corporate/careers/benefits.html - Excerpt: Benefits AMD Employee Benefits and Total Rewards Skip to main content AMD Website Accessibility Statement Products Processors Accelerators Graphics Adaptive SoCs, FPGAs, & SOMs Software, Tools, & Apps Processors Server CPUs EPYC CPU Portfolio Data Center, Cloud & AI Small Business & Hosting Server CPU Specifications Business Systems Ryzen PRO Laptops Ryzen PRO Desktops Workstations PRO Technologies Ryzen AI for Business Personal & Gaming Ryzen Laptops Ryzen Desktops Advantage Gaming Laptops Advantage Gaming Desktops Ryzen Z Series Handhelds Ryzen AI for Consumer Embedded EPYC and Ryzen Partner Ecosystem Resources Product Specifications Enterprise Blogs & Insights Accelerators GPU Accelerators Instinct GPUs Documentation Cloud Graphics Adaptive Accelerators Alveo Data Center Accelerator Cards Telco Accelerator Cards DPU Accelerators Pensando Salina Ethernet Adapters Pensando Pollara 400 Alveo X3 Series Solarflare Adapters Graphics Workstations Radeon PRO Desktops AMD Advantage Premium Radeon RX Laptops AMD Advantage Premium Radeon Mobile Graphics Resources Product Specifications Documentation Adaptive SoCs, FPGAs, & SOMs Adaptive SoCs & FPGAs Versal Portfolio SoC Portfolio FPGA Portfolio Cost-Optimized Portfolio System-on-Modules (SOMs) SOM Overview Kria SOMs KD240 Drives Starter Kit KV260 Vision AI Starter Kit KR260 Robotics Starter Kit Technologies AI Engine Design Security Digital Signal Processing Functional Safety High Speed Serial Memory Solutions Power Efficiency Resources Intellectual Property Design Hubs Developer Hub Customer Training Evaluation Boards & Kits Evaluation Boards Boards & Kits Accessories Software, Tools, & Apps Processor Tools Ryzen Master Overclocking Utility PRO Technologies StoreMI Ryzen AI Software Zen Software Studio Graphics Tools & Apps AMD Software: Adrenalin Edition AMD Software: PRO ### Machine Learning Engineer - 5 - Adobe Inc. - Location: Bangalore (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Machine-Learning-Engineer---5_R168703-1 - Excerpt: Machine Learning Engineer - 5 Bangalore posted: Posted 30+ Days Ago ### Student Programs - Advanced Micro Devices - Location: Location not specified (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://www.amd.com/en/corporate/careers/student-programs.html - Excerpt: Student Programs AMD Student Programs | AI and Engineering Internships Skip to main content AMD Website Accessibility Statement Products Processors Accelerators Graphics Adaptive SoCs, FPGAs, & SOMs Software, Tools, & Apps Processors Server CPUs EPYC CPU Portfolio Data Center, Cloud & AI Small Business & Hosting Server CPU Specifications Business Systems Ryzen PRO Laptops Ryzen PRO Desktops Workstations PRO Technologies Ryzen AI for Business Personal & Gaming Ryzen Laptops Ryzen Desktops Advantage Gaming Laptops Advantage Gaming Desktops Ryzen Z Series Handhelds Ryzen AI for Consumer Embedded EPYC and Ryzen Partner Ecosystem Resources Product Specifications Enterprise Blogs & Insights Accelerators GPU Accelerators Instinct GPUs Documentation Cloud Graphics Adaptive Accelerators Alveo Data Center Accelerator Cards Telco Accelerator Cards DPU Accelerators Pensando Salina Ethernet Adapters Pensando Pollara 400 Alveo X3 Series Solarflare Adapters Graphics Workstations Radeon PRO Desktops AMD Advantage Premium Radeon RX Laptops AMD Advantage Premium Radeon Mobile Graphics Resources Product Specifications Documentation Adaptive SoCs, FPGAs, & SOMs Adaptive SoCs & FPGAs Versal Portfolio SoC Portfolio FPGA Portfolio Cost-Optimized Portfolio System-on-Modules (SOMs) SOM Overview Kria SOMs KD240 Drives Starter Kit KV260 Vision AI Starter Kit KR260 Robotics Starter Kit Technologies AI Engine Design Security Digital Signal Processing Functional Safety High Speed Serial Memory Solutions Power Efficiency Resources Intellectual Property Design Hubs Developer Hub Customer Training Evaluation Boards & Kits Evaluation Boards Boards & Kits Accessories Software, Tools, & Apps Processor Tools Ryzen Master Overclocking Utility PRO Technologies StoreMI Ryzen AI Software Zen Software Studio Graphics Tools & Apps AMD Software: Adrenalin Edition ### Senior Applied Machine Learning Engineer - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-05-16 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Applied-Machine-Learning-Engineer--Typographic-Intelligence_R166553 - Excerpt: Senior Applied Machine Learning Engineer San Jose posted: Posted 27 Days Ago ### Applied Scientist, Pro Growth - Thumbtack - Location: Remote, Ontario, Toronto, Ontario, Canada, Remote, British Columbia (remote) - Salary: $162K-$209K - Posted: 2026-05-15 - Apply: https://jobs.ashbyhq.com/thumbtack/8bd503a6-e1e1-4c4a-80b4-96d1f276b6a4 - Excerpt: Applied Scientist, Pro Growth Remote, Ontario, Toronto, Ontario, Canada, Remote, British Columbia Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home - from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we'll build together. About the Applied Science Team We're looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistical models. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well. At Thumbtack, the Applied Science team is responsible for a wide variety of problems spanning AI, machine learning, statistics, and computer science: - Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack's product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform. - Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to ### Account Executive - Enterprise - Adaptive - Location: Boston, MA, United States, New York City (unspecified) - Salary: Not disclosed - Posted: 2026-04-02 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/adaptive/3369f926-e320-4a7d-8977-031cc45d4f3d - Excerpt: Account Executive - Enterprise Boston, MA, United States, New York City What we do Adaptive is a rapidly growing vertical AI company of 50, building an AI-native ERP for real estate and construction. We have scaled to over 700 customers and have raised $26m from Emergence, a16z, and other top funds, as well as a collection of angels from companies like Brex, Ramp, Airbase, Square, and Shopify. Why join us? Power the local built environment We serve the small businesses that are building communities across our country. Your favorite local café, the new house on the corner, or the ADUs helping to solve the housing crisis were all built by our customers--those who have lived in their cities for their entire lives and have a true passion for their craft. These are creative, dynamic, skilled individuals who bring neighborhoods to life by conceiving of and constructing environments where people connect and build memories. Join a world-class team at the forefront of vertical AI We have built a culture rooted in collaboration, execution, and experience! We have deep backgrounds in finance, technology, and construction, and a fast-growing customer base. We have the momentum, team, and vision to win in this massive market. We'd love for you to join us. Role Summary We're looking for an Enterprise Account Executive to lead Adaptive's expansion into the largest construction companies in the country. Over 1000 builders rely on Adaptive to give them real-time financial clarity and help protect their profit margins through better cash ### Machine Learning Engineer - Evergreen - Adobe Inc. - Location: Bucharest (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1 - Excerpt: Machine Learning Engineer - Evergreen Bucharest posted: Posted 30+ Days Ago ### PhD GenAI Research Scientist Intern - Databricks - Location: San Francisco, California (unspecified) - Salary: $54-$60/hr - Posted: 2023-11-07 - Non-birth-parent leave: 12 weeks (not source-backed) - Apply: https://databricks.com/company/careers/open-positions/job?gh_jid=7011263002 - Excerpt: PhD GenAI Research Scientist Intern San Francisco, California Company Description: At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI systems that use retrieval and agents. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Job description: Most of the world's data+AI problems lie in enterprise domains, behind closed doors. Our research team's goal is to push the frontier of "domain adaptation" - how can we develop LLMs and AI systems that work well for custom domains. To do this we are tackling open research problems on a range of topics, from how to scale/automate eval, fine tune with synthetic data, retrieval augmentation, fast/efficient inference and more. You will work with our research team on projects focused on adapting LLMs and AI systems towards enterprise domains. This may include: - Adapting, improving, and evaluating a method from the literature. - Designing an entirely new method for domain adaptation. - Composing together multiple ### Machine Learning Engineer, Ads Personalization - Paramount Skydance Corporation - Location: New York, NY (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Adoption assistance: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://careers.paramount.com/job/New-York-Machine-Learning-Engineer%2C-Ads-Personalization-NY-10036/1384191800/ - Excerpt: Machine Learning Engineer, Ads Personalization New York, NY #WeAreParamount on a mission to unleash the power of content… you in? We've got the brands, we've got the stars, we've got the power to achieve our mission to entertain the planet - now all we're missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Overview We are seeking a Machine Learning Engineer to join the PlutoTV pod. You will focus on Channel, Guide, and Schedule personalization. Your goal is to make the FAST (Free Ad-supported Streaming TV) experience feel as dynamic as a premium on-demand service. You will help build the models that select which channels appear in the guide and how content is scheduled to maximize viewer session length. This role requires deep knowledge of FAST systems and the unique constraints of linear programming. You will implement features within our GCP stack, leveraging Qdrant for content similarity and Post-training RL to optimize the "Lean-back" viewing experience. Why This Role Matters Modernizing Linear TV: You are part of the team transforming the static EPG (Electronic Programming Guide) into a personalized, data-driven discovery engine. Optimizing the "Lean-Back": Your models help users find something to watch immediately, reducing the friction inherent in "channel surfing." Global ### Technical Cofounder - Superset - Location: San Francisco, California (remote) - Salary: Not disclosed - Posted: 2026-06-11 - Apply: https://job-boards.greenhouse.io/superset/jobs/5255447008 - Excerpt: Technical Cofounder San Francisco, California Sandfox | Technical Cofounder Location: San Francisco Bay Area Format: In-office 4 days a week with flexibility for the occasional remote days The Mission Sandfox is building an adaptive buyer-led discovery platform for enterprise B2B. Our vision is a world where every business interaction adapts to buyer context, where companies understand what buyers are trying to accomplish and deliver the information, guidance, and experiences they need. Today, most B2B buying experiences are static. Websites, content hubs, and campaigns deliver the same experience regardless of who the buyer is or what they need. Sandfox transforms fragmented buyer data into structured intelligence that powers adaptive experiences, helping companies deliver relevance instead of noise. Sandfox is a portfolio company of super{set}, a venture studio that conceives, funds, and builds AI-native companies from formation through scale. We work alongside founders as operators, helping shape companies from day one. We're a small, early-stage team building something that doesn't exist yet in the market. The work is hands-on, the problems are difficult, and the opportunity to shape both product and company from the ground up is significant. Role We're looking for our first engineering hire: a Founding Engineer who will shape both the product and the technical foundation of Sandfox. You'll work directly with the founder to turn product vision into production software, establish engineering standards, and define how adaptive buyer experiences should work in practice. This role goes beyond engineering execution. We're building a new category of software where user ### Applied Research Scientist, Proactive Intelligence, — Agentic Systems and Generative Modeling - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-03-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200651116/applied-research-scientist-proactive-intelligence-agentic-systems-and-generative-modeling?team=MLAI - Excerpt: Applied Research Scientist, Proactive Intelligence, — Agentic Systems and Generative Modeling Cupertino, United States of America AI represents a big opportunity to elevate Apple's products and experiences for billions of people globally. We are looking for Applied Research Scientists with a background and interest in Agentic Systems. You will be leveraging state-of-the-art Generative models to ship extraordinary products, services, and customer experiences for the iPhone, Mac, Apple Watch, iPad and more. The mission of Proactive Intelligence is to improve Apple platforms by better understanding, anticipating and adapting to user behavior by using machine learning to build phenomenal features that are built right into Apple platforms. Our team provides an opportunity to be part of an incredible research and engineering organization within Apple. The ideal candidate for this role will have industry experience working on a range of modeling problems, including Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Learning from Human Preferences and Training Large Language Models (LLMs). Working knowledge of large-scale data processing especially with structured data, probabilistic modeling and statistics will broaden your role and effectiveness in this position. As an Applied Research Scientist on our team, you will design and implement ML algorithms that process data in different Apple products. You will train Generative AI models and Agentic systems using deep reinforcement learning to solve hard problems. Where necessary, you will also work on integrating ML/RL frameworks into our products to train large-scale agents and leverage cloud services to enable scalable and distributed training/simulation of agent behaviors. You ### Manager, FP&A - Workday Adaptive Planning - Checkout.com - Location: London, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-05-06 - Apply: https://jobs.ashbyhq.com/checkout.com/80e93236-ba1d-4d38-a6d6-72f250c26c29 - Excerpt: Manager, FP&A - Workday Adaptive Planning London, United Kingdom Company Description We're Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you've come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech - and we're just getting started. Checkout.com is looking for a talented and driven individual to join our Corporate FP&A team. We are a fast-scaling international organisation where Corporate FP&A sits at the centre of the broader finance team, helping to drive overall business planning and supporting the CFO and senior finance leaders on cross-functional projects. The Role Reporting directly into the Director of Corporate FP&A , this is a critical and highly visible role. You will act as the Subject Matter Expert (SME) on Workday Adaptive Planning within the Finance function. ### Technical Lead, Workforce Planning (Adaptive) - Take-Two Interactive - Location: London, England, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2026-03-04 - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/taketwo/jobs/7677162 - Excerpt: Technical Lead, Workforce Planning (Adaptive) London, England, United Kingdom Who We Are Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company's common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com . The Challenge Following our recent initiatives to modernize workforce planning, Take-Two is seeking an Adaptive Technical Lead who understands that technology is only as effective as its adoption. This is a high-impact leadership role focused on building alignment between Finance and HR data by unifying them under a single, intuitive planning ecosystem. You will serve as the functional architect of a system that replaces "clunky" legacy workarounds with a user-centric experience. Your mission is to satisfy Finance's need for precision while providing HR and Business teams with the "clutter-free" environment required to drive our strategy. This role isn't just about configuring software; it's about creating a "Single Version of the Truth" that empowers our global labels (2K, Rockstar, Zynga) to make data-driven talent decisions. What You'll Take On Cross-Functional ### Software Engineer, Backend - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/d3475c06-3180-4d89-8ecf-8b889cff92bb - Excerpt: Software Engineer, Backend Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're ### Community Manager - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/5a44f0eb-8d0d-4b04-9d51-9933f899aeaf - Excerpt: Community Manager Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll be the person who makes sure Adaptyv shows up well in public, every day. That means managing our social presence across X and LinkedIn, running the Proteinbase https://proteinbase.com community, owning the participant side of our open competitions and hackathons, and triaging inbound community and customer messages. Whatever it takes to keep our community-facing surface area ### Account Executive - Mid Market - Adaptive - Location: Boston, MA, United States, New York City (unspecified) - Salary: Not disclosed - Posted: 2025-04-25 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/adaptive/9d83a314-acca-43ad-bd73-297e24bfc523 - Excerpt: Account Executive - Mid Market Boston, MA, United States, New York City What we do Adaptive is a rapidly growing vertical AI company of 50, building an AI-native ERP for real estate and construction. We have scaled to over 700 customers and have raised $26m from Emergence, a16z, and other top funds, as well as a collection of angels from companies like Brex, Ramp, Airbase, Square, and Shopify. Why join us? Power the local built environment We serve the small businesses that are building communities across our country. Your favorite local café, the new house on the corner, or the ADUs helping to solve the housing crisis were all built by our customers--those who have lived in their cities for their entire lives and have a true passion for their craft. These are creative, dynamic, skilled individuals who bring neighborhoods to life by conceiving of and constructing environments where people connect and build memories. Join a world-class team at the forefront of vertical AI We have built a culture rooted in collaboration, execution, and experience! We have deep backgrounds in finance, technology, and construction, and a fast-growing customer base. We have the momentum, team, and vision to win in this massive market. We'd love for you to join us. Role Summary We're looking for a Mid-Market Account Executive to help us bring Adaptive to more builders across the country. Over 1000 builders rely on Adaptive to give them real-time financial clarity and help protect their profit margins through better cash ### Data Scientist, Lab & Protein Data - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/d15ab16a-2a89-43e5-b8c1-46e1badef5f2 - Excerpt: Data Scientist, Lab & Protein Data Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out the data science layer of Adaptyv's foundry - the work that turns tens of thousands of raw, messy experimental readouts into clean, trustworthy, structured data that our customers, our models, and our own scientists can rely on. Binding (BLI/SPR), developability, biophysical, and functional assays all produce data at scale; your job is to make that ### Workday Finance Systems Manager - Genius Sports Ltd - Location: London, England, United Kingdom (unspecified) - Salary: Not disclosed - Posted: 2025-10-24 - Apply: https://boards.greenhouse.io/geniussports/jobs/7507439003?gh_jid=7507439003 - Excerpt: Workday Finance Systems Manager London, England, United Kingdom By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com THE ROLE: The Finance Systems Manager manages a small team responsible for the day to day running of Workday Financials and Adaptive Planning. The role reports to the Group Finance Director within the Global Finance team. The role is responsible for the administration, maintenance and optimization of the Workday Financials and Adaptive Planning systems. The role works closely with IT to ensure the system meets business requirements and operates smoothly. Duties & Responsibilities - Manage and maintain Workday Financials and Adaptive Planning in a well-controlled and documented system environment - Lead the Finance Systems team, motivating team members and encouraging them to learn and develop through their work - Provide technical assistance for core financial processes - Build and maintain excellent working relationships with key members of the Finance team and other global stakeholders - Hold regular meetings with key stakeholders - Stay on top of Workday updates - Advise on system enhancements when appropriate for both Finance and the Business - Run pilots for new functionality/system changes utilizing Finance team members for key roles in the pilots - Optimise processes to achieve measurable outcomes - Roll out ways of working which facilitate user self service - Ensure system changes are communicated to ### Dental Hygienist - Advanced Clinical - Department of Veterans Affairs - Location: Sheridan, Wyoming (unspecified) - Salary: $68K-$88K - Posted: 2026-04-29 - Hires in: WY - Apply: https://www.usajobs.gov:443/job/867259700 - Excerpt: Dental Hygienist - Advanced Clinical Sheridan, Wyoming Summary Dental hygienists at this level are advanced-level practitioners in assigned areas. Higher-level duties consist of significant scope, complexity, and range of variety, and will be performed most of the hygienist's time. Serves as coordinator of the Dental Hygiene Student Program and provides hands-on clinical instruction to dental hygiene or dental assisting students during their clinic rotations, including all training required by the Sheridan College Dental Hygiene Program. Duties Performs comprehensive medical assessments and appropriate adaptation techniques to provide safe and effective periodontal care in severely compromised patients. Dental screenings independently outside of the dental clinic at inpatient residential areas and adapt treatment based on findings of medically/mentally/physically compromised patients. Uses more advanced adjunctive, diagnostic tools and techniques for monitoring clinical disease processes. Designs customized adaptive aids based on assessment of patients' abilities and disabilities. Manages advanced medical and behavioral risk factors for medically/mentally/physically compromised patients including indication of administration of adjunctive therapies Serves as member of relevant hospital committees and patient wellness programs. Provides oral/written tobacco cessation education and works with our tobacco cessation coordinator. Provides oral/written training protocols for the dental hygiene students. Provides oral health presentations to nursing staff, diabetic educators, and other disciplines. Sets up operatory for planned dental procedure and cleans dental unit for timely turnover. Handles instruments safely, accurately, and efficiently. Assesses clinical findings, including normal and critical lab results, and adapt care based on findings. Interviews patient and assesses patient's medical, dental, anxiety/phobias, medications and comorbidities. ### Software Engineer, Product - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/34e28741-b3fc-4536-b666-1e690c8f33f5 - Excerpt: Software Engineer, Product Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work across LabOS - our internal software platform - building the orchestration layer that coordinates everything from experiment scheduling to execution to data capture and results processing. This is full-stack product engineering at the intersection of software and physical-world biology. Day-to-day, that can mean things like: - Creating interfaces and APIs that give scientists ### SW Development Engineer, AWS Elastic Network Adapter Firmware team - Amazon - Location: Haifa, Haifa, ISR (unspecified) - Salary: Not disclosed - Posted: 2026-02-03 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3172552/sw-development-engineer-aws-elastic-network-adapter-firmware-team - Excerpt: SW Development Engineer, AWS Elastic Network Adapter Firmware team Haifa, Haifa, ISR Annapurna Labs, as part of Amazon Web Services (AWS), develops innovative hardware and software for AWS cloud customers. Annapurna Labs is like a big start-up in AWS. We develop cutting-edge technologies, work with amazingly talented engineers, and truly shape the future. Thanks to our teams' breadth of professional engineers, we have been able to improve AWS cloud networking infrastructure, with products such as Elastic Network Adapter (ENA), Elastic Fabric Adapter (EFA), and Scalable Reliable Datagram (SRD). Our products are at the heart of the cloud, playing a key role, and used by millions and millions of customers! Working for Annapurna Labs is thrilling, fast-paced, and a constant learning experience. As an ENA Firmware SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customer's needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As an ENA Firmware SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction. Basic Qualifications: - Bachelor's degree in computer science or electrical ### Research Associate (Molecular Biology / Protein engineering) - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/ba274bda-dce8-4151-8574-2b6d3b215b70 - Excerpt: Research Associate (Molecular Biology / Protein engineering) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll work in our biology & production team running protein expression, DNA assembly, and characterization workflows. We run thousands of constructs per week across cell-free and cell-based expression systems, high-throughput DNA synthesis and assembly, and binding/stability characterization (BLI, SPR, enzymatic assays). RESPONSIBILITIES - Run protein expression workflows: cell-free (PURE, lysate-based), E. coli, and potentially mammalian systems. - ### Systems Analyst, Financial Technology - Point72 Asset Management - Location: New York (unspecified) - Salary: $115K-$135K - Posted: 2026-03-13 - 401(k) match: listed (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://boards.greenhouse.io/point72/jobs/8445692002?gh_jid=8445692002 - Excerpt: Systems Analyst, Financial Technology New York A Career with Point72's Technology Team As Point72 reimagines the future of investing, our technology team is constantly evolving our firm's it infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated artificial intelligence (ai) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the ai space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72's technology team, we encourage and support your professional development from day one-helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity-all while delivering real business impact for our multi-billion-dollar global business. What you'll do - Build and evolve the Workday Financials and Adaptive Planning platform to support accounting, procurement, accounts payable, and financial planning workflows across the firm - Lead end-to-end configuration, enhancement, and release activities for financial modules, driving measurable improvements in process efficiency and data accuracy - Develop and deploy financial models, reporting packages, and planning templates in Adaptive Planning to accelerate budgeting, forecasting, and scenario analysis - Design and implement integrations and data pipelines between Workday, Adaptive Planning, and other financial systems to ensure reliable, timely data flow - Partner with finance stakeholders to gather and translate business requirements into technical designs, configurations, ### Head of Software Engineering - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/11d5013d-e24d-47b5-8dd3-3d5f670f753f - Excerpt: Head of Software Engineering Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll be a player-coach - someone who still ships code but also owns the engineering roadmap, team structure, and technical direction. You'll translate company strategy into engineering priorities, make sure the right things get built in the right order, and help a small, high-output team scale without losing speed. You'll lead a small, technical ### Senior Director, Applied AI - Redesign Health - Location: Redesign Health, New York, NY, United States, Bengaluru, India, New York, New York, USA, San Francisco (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Apply: https://jobs.ashbyhq.com/Redesign%20Health/ab02a343-ce35-46cc-9e9a-d5649562cc73 - Excerpt: Senior Director, Applied AI Redesign Health, New York, NY, United States, Bengaluru, India, New York, New York, USA, San Francisco About the Company: Redesign Health is a global venture and applied technology firm focused on building next-generation healthcare companies. We manage venture capital and venture buyout strategies, each powered by an AI operating system and team of leading technologists, entrepreneurs, and investors. Our venture capital strategy backs exceptional founders at the earliest stage-often before an idea is fully formed-and provides first institutional capital and an unmatched degree of strategic leverage and domain expertise through exit. Our venture buyout strategy partners with proven management teams through control investments and delivers outsized value by rewiring core products and workflows with AI. Since inception in 2018, Redesign and our portfolio companies have touched the lives of more than 15 million patients, raised over $1.5 billion from premier institutional, sovereign, and strategic investors, and built distinctive partnerships with marquee healthcare organizations and senior leaders around the world. Redesign is based in New York and has offices in Bengaluru, Los Angeles, and Riyadh. About the Team: Redesign's technology practice combines a frontier applied AI lab with deep healthtech investing expertise. Members of the practice have founded companies worth more than two billion dollars and built systems that serve hundreds of millions of patients, providers, and expert users, and run inside NASA, CIA, and 90% of the Fortune 500. The practice is responsible for Redesign's technical investments, supports founders with architect-level guidance and more than a ### Applied Research Scientist / Engineer - Deployment - Rhoda AI - Location: Palo Alto, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-05-18 - Apply: https://jobs.ashbyhq.com/rhoda-ai/985ceeb2-1fa7-44ab-b2d4-487c9516970b - Excerpt: Applied Research Scientist / Engineer - Deployment Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Applied Research Scientists and Research Engineers to take our foundation world models and adapt them for specific customer applications and industry use cases. We hire across levels - from senior/MTS to staff. This is a customer-facing role at the intersection of research and deployment - you'll work directly with partners and end users to understand their needs, translate them into model adaptations, and deliver measurable improvements in real-world settings across industries like logistics, manufacturing, and beyond. What You'll Do - Work directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategies - Fine-tune and adapt our foundation world models for domain-specific tasks, environments, and operational constraints - Design and run targeted experiments to evaluate model performance against customer-defined success criteria - Build application-specific evaluation benchmarks and testing frameworks to validate model behavior in real customer environments - Identify gaps ### Senior Manager, Brand Management, Austria - Coca-Cola Company (The) - Location: Location not specified (unspecified) - Salary: EUR 78K-114K - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://careers.coca-colacompany.com/job/23292064/senior-manager-brand-management-austria-vienna-at/ - Excerpt: Senior Manager, Brand Management, Austria The Senior Brand Manager - Austria plays a critical role in shaping and executing locally relevant marketing activation across the full Coca-Cola portfolio. As a senior member of a small non-Top 9 marketing team , this role provides strategic input into local brand planning and leads major activation workstreams-while still relying on centrally developed brand strategies, IMX toolkits, campaigns, and innovation. The Senior Brand Manager ensures that global and OU assets are thoughtfully adapted, elevated, and delivered with excellence for local consumers and customers. This role partners deeply with the Marketing Director, system partner (CCH), the local network, and central brand counterparts across Europe to drive strong in market performance and flawless execution. This is a role for a marketer with solid foundational experience who is ready to take on significant ownership, cross functional leadership, and increased responsibility across Austria's complex, highly competitive beverage landscape. What You'll Do for Us Brand Activation Leadership & Market Adaptation - Lead the local adaptation of centrally developed brand strategies, toolkits, campaigns, IMX assets, and innovation into locally relevant activation plans. - Provide input to the Marketing Director on portfolio and brand priorities based on market insights, performance trends, and retailer dynamics. - Lead the creative adaptation process ensuring cultural, regulatory, and brand governance compliance. Campaign Development & Full Funnel Execution - Lead the execution of integrated campaigns across digital, social, OOH, experiential, shopper, and in‑store environments. - Manage multi-agency workstreams (creative, digital, shopper, experiential) to deliver high-quality output ### Intern, Protein Design - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/0b758124-722a-4557-b16b-5ad38e6b7986 - Excerpt: Intern, Protein Design Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. RESPONSIBILITIES - Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab. - Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability. - Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools ### Software Engineer, Lab Automation - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/13ec6b5a-b759-4260-8eb8-373ab9d6b31a - Excerpt: Software Engineer, Lab Automation Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build work-cell orchestration, instrument drivers, protocol scheduling, error-recovery logic, and monitoring. Physical systems fail in ways pure software doesn't - a plate gets stuck, a liquid handler skips a well, a temperature controller drifts. Your job is to make the system handle all of it gracefully. This is a broad, hands-on role for a strong engineer who wants their ### Machine Learning Engineer, User & Content Intelligence - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-03-17 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200651949/machine-learning-engineer-user-content-intelligence?team=MLAI - Excerpt: Machine Learning Engineer, User & Content Intelligence Seattle, United States of America Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences. We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it. This is not a standard Data Engineering or ML role. We are looking for a pioneering engineer to join our team. You will build the systems that securely process, combine, and deliver the critical user and content features needed for personalization, spanning from edge devices to cloud backends. You will engineer high-performance stacks that transform raw data into governed, discoverable intelligence, ensuring that machine learning models can seamlessly and securely access the right user and content features regardless of where that data physically resides. Architect Distributed Feature Access: Design and build the access layer that abstracts the physical location of data. Ensure that inference systems can seamlessly access real-time on-device context, cloud-based service history, and content metadata through a unified, familiar API. Engineer Large-Scale Feature Pipelines: Build robust, petabyte-scale pipelines that ingest and combine disparate data into coherent user profiles and rich content representations. Architect Training Data Systems: Transform raw ### Scientist, Cell-Based & Functional Assays - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/9e938c23-156b-46dd-aae3-4d498b778bd3 - Excerpt: Scientist, Cell-Based & Functional Assays Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out cell-based and functional assays at Adaptyv - the work that proves an antibody or protein actually does something: activates or blocks a receptor, triggers signaling, kills a cell, or modulates an immune response. Cell activation assays, reporter systems, potency assays, and antibody functional readouts are the heart of this role. This is the most interdisciplinary of ### Machine Learning Engineer - Perception - AEVA Technologies - Location: Mountain View, CA (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://jobs.lever.co/aeva/04968254-258c-4006-afb4-6f335a6043dd - Excerpt: Machine Learning Engineer - Perception Mountain View, CA ### Engineering Manager - Adaptive - Location: New York City, New York, USA (unspecified) - Salary: Not disclosed - Posted: 2026-04-23 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/adaptive/f02031da-b2b3-4ebb-8e35-0fd46fd7a3ec - Excerpt: Engineering Manager New York City, New York, USA What we do Adaptive is a rapidly growing vertical AI company of 50, building an AI-native ERP for real estate and construction. We have scaled to over 700 customers and have raised $26m from Emergence, a16z, and other top funds, as well as a collection of angels from companies like Brex, Ramp, Airbase, Square, and Shopify. Why join us? Power the local built environment We serve the small businesses that are building communities across our country. Your favorite local café, the new house on the corner, or the ADUs helping to solve the housing crisis were all built by our customers--those who have lived in their cities for their entire lives and have a true passion for their craft. These are creative, dynamic, skilled individuals who bring neighborhoods to life by conceiving of and constructing environments where people connect and build memories. Join a world-class team at the forefront of vertical AI We have built a culture rooted in collaboration, execution, and experience! We have deep backgrounds in finance, technology, and construction, and a fast-growing customer base. We have the momentum, team, and vision to win in this massive market. We'd love for you to join us. About the role We're excited to share this opportunity to join our growing team at Adaptive! As an Engineering Manager, you'll play a key role in shaping both our product and engineering culture at an early stage. This is a hands-on leadership role where you'll ### AI Engineer, Multimodal LLMs - Eloquent AI - Location: San Francisco | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/eloquentai/41c12538-9543-4a0b-a84f-034f4cb2db9a - Excerpt: AI Engineer, Multimodal LLMs San Francisco | OnSite MEET ELOQUENT AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments. We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. Your Role As an AI Engineer at Eloquent AI, you will be at the forefront of building, deploying, and optimizing enterprise-grade AI agents that handle high-stakes conversations. You'll work directly with software engineers, deep learning experts and AI researchers to design intelligent agents that understand, take action, and deliver real business impact. This role requires a mix of software development, AI integration, and problem-solving skills, with the ability to customize, optimize, and scale AI models for real-world enterprise applications. If you're passionate about LLMs, conversational AI, and solving last-mile AI adoption challenges, this role is for you. You will: - Build, deploy, and optimize AI agents that engage in enterprise-grade conversations. - Design ### Machine Learning Researcher, Multimodal LLMs - Bland AI - Location: San Francisco (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/bland/681dfcda-f016-4bda-826e-7e813fae0083 - Excerpt: Machine Learning Researcher, Multimodal LLMs San Francisco MACHINE LEARNING RESEARCHER, MULTIMODAL LLMS Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com http://Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly becoming the primary interface between businesses and their customers, and we are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. We've raised $65M from leading investors including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. THE ROLE We are looking for someone to contribute to the development of our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a single unified system. You'll be responsible for building industry-leading conversational AI models that power Bland's agent, and taking them all the way from idea to production. At Bland, we're not just thinking about text modeling. You will define how our agents listen, think, and act in real time, integrating streaming audio, tool execution, and dynamic context into a single coherent system. You will take ideas from research through production systems serving millions of calls per day. WHAT MAKES YOU A GREAT FIT Strong LLM / Multimodal Background - Experience with LLMs, multimodal models, or speech-language systems - Deep understanding of prompting, fine-tuning, and alignment techniques - Familiarity with neural audio codecs and modern multimodal LLM techniques Fast Experimental Loop - You can go from idea → dataset → experiment → conclusion in days - You ### Partner Account Executive - Adaptive - Location: Boston, MA, United States (unspecified) - Salary: Not disclosed - Posted: 2025-04-28 - Apply: https://jobs.ashbyhq.com/adaptive/d6546257-4466-4385-b3fb-a0c1dbee4a8a - Excerpt: Partner Account Executive Boston, MA, United States What we do Adaptive is a rapidly growing vertical AI company of 50, building an AI-native ERP for real estate and construction. We have scaled to over 700 customers and have raised $26m from Emergence, a16z, and other top funds, as well as a collection of angels from companies like Brex, Ramp, Airbase, Square, and Shopify. Why join us? Power the local built environment We serve the small businesses that are building communities across our country. Your favorite local café, the new house on the corner, or the ADUs helping to solve the housing crisis were all built by our customers--those who have lived in their cities for their entire lives and have a true passion for their craft. These are creative, dynamic, skilled individuals who bring neighborhoods to life by conceiving of and constructing environments where people connect and build memories. Join a world-class team at the forefront of vertical AI We have built a culture rooted in collaboration, execution, and experience! We have deep backgrounds in finance, technology, and construction, and a fast-growing customer base. We have the momentum, team, and vision to win in this massive market. We'd love for you to join us. Adaptive powers the construction CAS practices of leading accounting firms like CLA, Pinion, and Melton & Melton - and we're just getting started. We're looking for a Partner Account Executive to own and grow our Partner ecosystem. In this role, you'll be responsible for expanding our ### Acuity Adaptable ICU Nurse - CommonSpirit Health - Location: UNAVAILABLE, UNAVAILABLE, UNAVAILABLE (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://careers-commonspirit.icims.com/jobs/471973/acuity-adaptable-icu-nurse/job - Excerpt: Acuity Adaptable ICU Nurse UNAVAILABLE, UNAVAILABLE, UNAVAILABLE Where You'll Work Are you ready to join a healthcare family where your values align with ours? At Dignity Health - Yavapai Regional Medical Center (DH-YRMC), now a proud part of CommonSpirit Health, a not-for-profit integrated healthcare provider, our core mission guides every decision and every interaction. Here, you'll discover more than just a job; you'll find rewarding career opportunities across a comprehensive network of inpatient and outpatient services. From a vibrant community hospital, YRMC has grown into a leading regional healthcare system. Say hello to a relaxed lifestyle that empowers you to prioritize both your professional growth and family time. YRMC extends this inviting spirit within our walls, fostering a strong sense of family, and belonging among our team members. Come experience the exceptional quality of life that YRMC and Prescott offer. Work at the heart of #hellohumankindness and discover where your career and well-being truly connect. Job Summary and Responsibilities As our Acuity Adaptable ICU Nurse you will help patients with varying acuity levels by providing exceptional care, monitoring their condition, administering medications and treatments as prescribed by physicians, and ensuring that patients receive the necessary care and support to achieve optimal outcomes. Every day you will work in various units, such as ICU, PCU, and Med-Surg, providing exceptional care to patients with varying acuity levels. You will be expected to monitor and manag ### Machine Learning Researcher, Audio - Bland AI - Location: San Francisco (remote) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/bland/2e815d0d-8e7a-43cc-8853-c1b029aeb499 - Excerpt: Machine Learning Researcher, Audio San Francisco MACHINE LEARNING RESEARCHER, AUDIO Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we are a fast-growing team reimagining how customers interact with businesses through voice. We have raised $65 million from leading Silicon Valley investors, including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. Voice is quickly becoming the primary interface between businesses and their customers. We are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. THE ROLE: MACHINE LEARNING RESEARCHER, AUDIO As a Machine Learning Researcher at Bland, you'll be working on foundational research and development across the core components of our voice stack: speech-to-text, large language models, neural audio codecs, and text-to-speech. Your work will define how our agents understand, reason, and speak in real time at enterprise scale. This is not a narrow research role. You will take ideas from theory to large-scale training to production inference systems serving millions of calls per day. You will design new modeling approaches, validate them with rigorous experimentation, and collaborate with engineering teams to deploy them into real customer environments. WHAT YOU WILL DO Build and Scale Next-Generation TTS Systems - Design and train large scale text-to-speech models capable of expressive, controllable, human-sounding output. - Develop neural audio codec-based TTS architectures for efficient, high-fidelity generation. - Improve prosody modeling, question inflection, ### Prestige Brand Manager - Coty - Location: Country Japan | Location Fukuoka|Kobe|Tokyo|Field-JPN|Nagoya|Osaka|Sapporo (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - 401(k) match: listed (not source-backed) - Apply: https://careers.coty.com/job/Tokyo-Prestige-Brand-Manager-13-163-1427/1224712001/ - Excerpt: Prestige Brand Manager Country Japan | Location Fukuoka|Kobe|Tokyo|Field-JPN|Nagoya|Osaka|Sapporo RESPONSIBILITIES We are currently seeking a Brand Manager responsible for driving the development and execution of marketing bundles and brand plans to build brand awareness, desirability and convert consumer engagement & sales in long-run vision. Your main focus: Identify and implement brand strategies based on consumer/shopper insights, competitive threats and brand issues and opportunities, in compliant to global brand marketing and fashion house guideline. Develop brand annual calendar and wisely use available resource to achieve business targets. including but not limited in brand sales, pillar/category performance, retail excellence, campaign delivery, consumer acquisition, consumer retention, brand awareness improvement. To liaise with local registration team and global brand team/Regional team to make sure timely new innovation launches in Japan. Achieve business results through executional excellence and partners with cross functional colleagues to ensure MKT activities are executed according to strategy and are supported by investments in advertising, digital /social and promotions. Applies understanding of local consumers, customers, and competitors to adapt the global license guideline& policy in local adaptation, while also take a role of strong local voice in proposing local initiatives. Provide strong distribution strategy based on strong analysis of retailers. Provide timely and insightful business analysis and reports to adapt strategy and action plans. Worki ### Machine Learning Engineer - Relace - Location: San Francisco | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/relace/2deb110b-b848-4316-a120-f1864d788e94 - Excerpt: Machine Learning Engineer San Francisco | OnSite ABOUT US Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions. Our technology supports some of the world's fastest-moving companies - including Lovable, Figma, and Vercel - as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we're growing quickly. Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you. THE ROLE We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable through low-level optimizations and smart systems design. The ideal candidate is excited by CUDA kernels, memory layouts, GPU scheduling, and squeezing performance out of complex training and inference workloads. They should be just as comfortable optimizing compute and networking paths as they are working alongside research teams to productionize new architectures. This is a role for someone who enjoys deep performance tuning, understands the realities of running large-scale ML systems, and thrives in fast-moving, high-leverage environments. REQUIREMENTS - Strong background in systems-level ML ### Reinforcement Learning Systems - Microsoft - Location: US (unspecified) - Salary: Not disclosed - Posted: 2025-12-08 - 401(k) match: listed (not source-backed) - Apply: https://apply.careers.microsoft.com/careers/job/1970393556629400 - Excerpt: Reinforcement Learning Systems US ### Liquid Labs - Research Engineer - Liquid AI - Location: Boston, Cambridge, Massachusetts, United States (unspecified) - Salary: Not disclosed - Posted: 2025-12-03 - Apply: https://jobs.ashbyhq.com/liquid-ai/679d26b2-2603-424d-acb8-99f45e8b5ddd - Excerpt: Liquid Labs - Research Engineer Boston, Cambridge, Massachusetts, United States About Liquid Labs Research has been core to Liquid AI from the beginning. Liquid Labs gives that work a formal home; an internal research accelerator driving fundamental breakthroughs in the science of building intelligent, personalized, and adaptive machines. Our origins trace back to MIT CSAIL, where the foundational work on Liquid Neural Networks defined a new class of dynamical, efficient sequence-processing architectures. That research became the basis for Liquid Foundation Models (LFMs). Scalable, multimodal models built for real-world deployment in resource-constrained environments. At Liquid Labs, we extend that lineage - pushing forward the frontier of efficient, adaptive intelligence through both fundamental research and practical engineering. We work hand-in-hand with Liquid's core foundation model and systems teams to translate theory into deployed capability - defining a new generation of intelligent systems that are both powerful and efficient. About The Role: As a Research Engineer, you'll join a small, high-context team exploring the limits of adaptive intelligence. You'll design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do. You'll operate at the intersection of research and engineering - translating scientific ideas into working systems, publishing where it drives the field forward, and deploying where it changes what's possible. While San Francisco and Boston are preferred, we are open to other locations in the United States. This Role Is For You If: - Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow - ### Machine Learning Engineer / Scientist - Until - Location: Bay Area (unspecified) - Salary: Not disclosed - Posted: 2025-11-25 - Apply: https://jobs.lever.co/until/b953a7f9-3024-43c2-abed-45cf5a91ddd3 - Excerpt: Machine Learning Engineer / Scientist Bay Area Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, ### Forward Deployed Scientist - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/6f9f629e-ca05-4cdf-8967-667c88eb19e2 - Excerpt: Forward Deployed Scientist Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're a scientist on staff who works shoulder-to-shoulder with customers to help them design better proteins and get more out of every experiment. You sit between their design models and our lab: helping them scope a campaign, pick the right design approach for the problem, make sense of the data that comes back, and decide ### Sr Machine Learning Engineer, Proactive - ML Systems Engineering - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-04-29 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200660665/sr-machine-learning-engineer-proactive-ml-systems-engineering?team=MLAI - Excerpt: Sr Machine Learning Engineer, Proactive - ML Systems Engineering Cupertino, United States of America Apple's products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer's needs and create personalized experiences by adapting to user behaviors with machine learning running locally on users' devices. We are seeking exceptional software engineers with a strong machine learning background to join our team where we're making Apple Intelligence more capable and personalized to surprise and delight our millions of customers on the iPhone, Mac, Apple Watch, iPad, and more! We are seeking passionate, creative, and curious engineers with experience shipping machine learning systems and a proven track record of outstanding software engineering abilities. We need your expertise to invent the future by integrating new features with highly complex systems. You will need to learn and deeply understand the way Apple's software operates in order to deliver new capabilities and features. The most successful engineers ask questions, are eager to teach and learn together, and share a common belief that that we can surprise and delight our customers with personalized intelligent experiences in all of Apple's products. Join us to benefit the lives of hundreds of millions of people around the world! As a member of our team, you will ship excellent software for machine learning systems; establish scalable automated processes for evaluation and monitoring; contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow; commit ### FP&A Analyst - APAC - LaunchDarkly - Location: India (unspecified) - Salary: Not disclosed - Posted: 2025-10-13 - Non-birth-parent leave: 8 weeks (not source-backed) - Apply: https://job-boards.greenhouse.io/launchdarkly/jobs/7495019003 - Excerpt: FP&A Analyst - APAC India About the Job: As a Financial Analyst / Senior Financial Analyst on the Strategic Finance team, you will be a critical contributor to financial planning, reporting, and operational insight. You will work closely with Accounting and other cross-functional teams to support month-end close, deliver monthly reporting, and build out financial models and analysis. You will become an expert user of Adaptive and are motivated to leverage AI tools or automation to increase productivity and insight. This role is ideal for someone with at least 2 years of experience in finance or analytics, strong analytical rigor, and the ability to thrive in ambiguity. Responsibilities: - Lead or support Strategic Finance in month-end close and monthly forecasting. - Lead or support monthly financial reporting and commentary to leadership. - Become a power user of Adaptive: manage forecasts, and build/extend Adaptive models. - Identify opportunities to incorporate AI, automation, or process improvements to increase speed, accuracy, and scalability. - Conduct ad hoc financial and business analysis to support strategic initiatives, business reviews, and cross-functional decision-making. - Continuously monitor and validate data integrity; flag anomalies, investigate root causes, and correct issues. - Actively participate in process documentation, knowledge sharing, and team learning. About You: - You're excited by turning raw data into insights that drive business strategy - You thrive when faced with complex problems, and take ownership of outcomes - You enjoy cross-functional collaboration and learning from others - You believe in continuously improving processes and tooling - ### Licensed Customer Experience Specialist (P&C) - Lemonade Inc - Location: Remote, United States (remote) - Salary: Not disclosed - Posted: 2026-06-03 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/lemonade/dafeda9a-49c2-4727-b4ec-c43dabbd250f - Excerpt: Licensed Customer Experience Specialist (P&C) Remote, United States We're looking for a proactive problem-solver with excellent communication skills and a deep commitment to customer satisfaction. This role is perfect for individuals who are enthusiastic, driven, empathetic, helpful by nature, patient, have a good sense of humor, and are a proficient writer. During your day-to-day at Lemonade you'll be asked to provide next-level customer care to our customers, while working alongside (and learning from) some of the best talent in the tech and insurance industries. You'll advocate for our community of customers while working with our product and engineering teams to maintain an award-winning level of service. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture. In this role you'll - Utilize phone, email, and SMS channels to provide a best-in-class experience by adapting your style of support to meet each customer's unique needs - Build customer confidence in our brand by showcasing a deep knowledge across our line of products - Identify and communicate critical pain points of our customer user experience to other stakeholders with a solution-oriented mindset - Bring our values to life in the way you interact with and ### Machine Learning Engineer - Adobe Inc. - Location: San Jose (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167407 - Excerpt: Machine Learning Engineer San Jose posted: Posted 8 Days Ago ### Founding Revenue Manager, Adapt - AirDNA - Location: Remote (remote) - Salary: $75K-$120K - Posted: 2026-05-04 - Parental leave: 16 weeks (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://jobs.lever.co/airdna/a5ec1526-73a1-4887-842f-57478a570588 - Excerpt: Founding Revenue Manager, Adapt Remote About AirDNA AirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the multi-billion-dollar travel and short-term rental industry, with offices in New York, Denver and Barcelona and team members around the world. Our self-serve platform equips Airbnb hosts and property managers with the smart, competitive insights they need to succeed in an ever-evolving market. We also arm enterprise clients with custom reports and in-depth dashboards so they can scale and invest strategically. Our customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world. We track the daily performance of over 15 million listings on Airbnb, Vrbo, and Booking.com across 120,000 global markets. Hundreds of thousands of partner properties further inform our proprietary algorithms, producing the most accurate and comprehensive short-term rental dataset in the world. The AirDNA team We genuinely live and breathe our company values: Happy, Hungry, Honest - Be Curious, Be Customer-Obsessed, Take Action, Act with Ownership, and Enjoy the Ride. People who are ready to exemplify these values are especially encouraged to apply. Want to see what that looks like in action? You'll get a feel once you meet us. We welcome applicants from all backgrounds and encourage you to apply even if you don't check every box. Passion, potential, and perspective matter here. The Role Adapt is AirDNA's new dynamic ### Staff Technical Lead for Inference & ML Performance - Fal - Location: San Francisco (unspecified) - Salary: Not disclosed - Posted: 2025-08-07 - Apply: https://job-boards.greenhouse.io/fal/jobs/4012780009 - Excerpt: Staff Technical Lead for Inference & ML Performance San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. Why this role matters You'll shape the future of fal's inference engine and ensure our generative models achieve best-in-class performance. Your work directly impacts our ability to rapidly deliver cutting-edge creative solutions to users, from individual creators to global brands. What you'll do Day-to-day What success looks like Set technical direction. Guide your team (kernels, applied performance, ML compilers, distributed inference) to build high-performance inference solutions. fal's inference engine consistently outperforms industry benchmarks in throughput, latency, and efficiency. Hands-on IC leadership. Personally contribute to critical inference performance enhancements and optimizations. You regularly ship code that significantly improves model serving performance. Collaborate closely with research & applied ML teams. Influence model inference strategies and deployment techniques. Seamless integration of inference innovations rapidly moves from research to production deployment. Drive advanced performance optimizations. Implement model parallelism, kernel optimization, and compiler strategies. ### Technical Lead II - SEI Investments Company - Location: Telangana, India (unspecified) - Salary: Not disclosed - Posted: 2026-05-19 - 401(k) match: listed (not source-backed) - Apply: https://seic.wd1.myworkdayjobs.com/SEI_Global_Services/job/IND-Hyderabad-GCC/Technical-Lead-II_R0036691/apply - Excerpt: Technical Lead II Telangana, India The SEI Wealth Platform has a challenging career opportunity for a Technical Lead. You should be adaptable, possess a wide range of technical skills, and demonstrate the ability to understand finan... ### AI Machine Learning Engineer - The Hartford Financial Services Group, Inc. - Location: 4 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://thehartford.wd5.myworkdayjobs.com/Careers_External/job/Hartford-CT/AI-Machine-Learning-Engineer_R2625795 - Excerpt: AI Machine Learning Engineer 4 Locations posted: Posted Today ### Machine Learning Engineering Manager - Autodesk - Location: 14 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://autodesk.wd1.myworkdayjobs.com/Ext/job/Toronto-ON-CAN/Machine-Learning-Engineering-Manager_26WD99363-1 - Excerpt: Machine Learning Engineering Manager 14 Locations posted: Posted Yesterday ### Software Engineer II - SEI Investments Company - Location: Kolkata, India (unspecified) - Salary: Not disclosed - Posted: 2026-05-18 - 401(k) match: listed (not source-backed) - Apply: https://seic.wd1.myworkdayjobs.com/SEI_Global_Services/job/IND-KOLKATA-FINOMIAL/Software-Engineer-II_R0036617/apply - Excerpt: Software Engineer II Kolkata, India SEI is seeking to hire a Software Engineer. You should be adaptable, possess a wide range of technical skills, and demonstrate the ability to understand financial services business requirements. Yo... ### Investor Services Assistant Manager - U.S. Bancorp - Location: Dublin, Dublin, Ireland (unspecified) - Salary: Not disclosed - Posted: 2026-04-16 - 401(k) match: listed (not source-backed) - Apply: https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Dublin-Ireland/Investor-Services-Assistant-Manager_2026-0008084/apply - Excerpt: Investor Services Assistant Manager Dublin, Dublin, Ireland The Investor Services Assistant Manager provides support to the group as a whole and therefore needs to be flexible and display an ability to adapt to different funds, clients, regulatory requirements... ### Senior Machine Learning & AI Engineer - Lloyds Banking Group - Location: Bristol (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://lbg.wd3.myworkdayjobs.com/LBG_Careers/job/Bristol/Senior-Machine-Learning---AI-Engineer_151884-3 - Excerpt: Senior Machine Learning & AI Engineer Bristol posted: Posted Today ### Machine Learning Services Engineer - Firefly - Adobe Inc. - Location: Bucharest (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Services-Engineer---Firefly_R164500 - Excerpt: Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago ### Workday Adaptive Workforce Planning Analyst - Northwest Bancshares INC - Location: 4 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Childcare support: yes (not source-backed) - Apply: https://northwest.wd1.myworkdayjobs.com/Northwest_Careers/job/Columbus-OH/Workforce-Planning-Analyst_R-101707 - Excerpt: Workday Adaptive Workforce Planning Analyst 4 Locations IN0534 Fishers, OH0523 Independence Bus Office, OH0713 NW Bancshares HQ, PA0258 Bellevue Job Description The Workday Adaptive Workforce Planning Analyst plays a critical role at the intersection of headcount governance, data-driven reporting, and talent program support. This position partners closely with HR, Finance, and business leaders to ensure accurate workforce planning, effective organizational design, and streamlined recruitment operations. The analyst manages the enterprise headcount approval process, provides analytical support during annual budgeting and monthly forecasting, and delivers clear, actionable insights through dashboards and reports. The role also supports Talent Acquisition by analyzing hiring trends, coordinating approval workflows, and helping develop strategic recruitment programs. Success in this position requires exceptional analytical ability, advanced Excel expertise, strong communication skills, and the ability to manage complex processes with a high degree of accuracy and organization. Additional Essential Functions • Ensure compliance with Northwest's policies and procedures, and Federal/State regulations • Navigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiency • Work as part of a team • Work with on-site equipment Additional Responsibilities • This role is ideal for someone who thrives at the intersection of reporting, headcount governance, and talent program and process development • Act as liaison between HR and Finance during the annual headcount budget process to ensure accuracy in headcount planning for the year. Use data from the annual headcount plan to measure accountability for business leaders during monthly financial ### Software Development Engineer III, Annapurna Labs - Amazon - Location: New York, New York, USA (unspecified) - Salary: $185K-$250K - Posted: 2026-01-21 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3163516/software-development-engineer-iii-annapurna-labs - Excerpt: Software Development Engineer III, Annapurna Labs New York, New York, USA About the Team The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS ### Forward Deployed Engineer - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/3377f1b8-10b8-45c3-b03c-1c065b4f8608 - Excerpt: Forward Deployed Engineer Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You're the bridge between Adaptyv's lab and the people designing proteins. Protein design platforms, pharma teams, AI labs, and biotech startups all have the same problem: they can generate designs far faster than they can test them. Your job is to close that gap - to embed with a customer, understand their pipeline, and wire ### Staff Backend Engineer - Adaptive Telemetry | USA | Remote - Grafana Labs - Location: United States (Remote) (remote) - Salary: $175K-$210K - Posted: 2026-02-11 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/grafanalabs/jobs/5799744004 - Excerpt: Staff Backend Engineer - Adaptive Telemetry | USA | Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Adaptive Telemetry This is a remote position. We are looking for candidates in the USA ### Machine Learning Systems Engineer, RL Engineering - Anthropic - Location: San Francisco, CA | New York City, NY | Seattle, WA (unspecified) - Salary: $500K-$850K - Posted: 2025-10-15 - Apply: https://job-boards.greenhouse.io/anthropic/jobs/4952051008 - Excerpt: Machine Learning Systems Engineer, RL Engineering San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Reinforcement Learning Engineering team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety. You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible. You're energized by the challenge of supporting and empowering our research team in the mission to build beneficial AI systems. Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. You'll be responsible for improving the speed, reliability, and ease-of-use of these systems. You may be a good fit if you: ### Senior Manager, Commercial Energy - ICF International INC - Location: 2 Locations (unspecified) - Salary: $108K-$184K - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Learning budget: yes (not source-backed) - Apply: https://icf.wd5.myworkdayjobs.com/ICFExternal_Career_Site/job/Albuquerque-NM/Senior-Manager--Commercial-Energy_R2600517 - Excerpt: Senior Manager, Commercial Energy 2 Locations Senior Manager, Commercial Energy Location: Albuquerque, NM Ready to make a difference? We are seeking a dynamic Senior Manager within our Utility Programs and Services (UPS) Division to serve as a Portfolio Lead, Senior Program Manager, and Launch Manager-driving and expanding ICF's utility business throughout New Mexico. This role is designed to be highly flexible and adaptable, enabling you to support a variety of projects and program models based on business needs. The Senior Manager will be assigned to different portfolios across New Mexico, offering a unique opportunity to shape, build, and scale a portfolio within a fast-growing business. This position requires deep knowledge of energy efficiency, for both gas and electric utilities including electrification technologies for commercial and residential building systems, and demand side management. The successful candidate will be called upon to lead new program approaches that demand seasoned, senior-level experience, oversee the launch of new initiatives where team structures are still evolving, and provide critical management support for complex programs or launches requiring additional leadership. You will develop and manage pipelines of new and existing customers and trade allies, ensuring program participation goals are met while adapting to the unique challenges and opportunities that each new project presents. Internally, you will guide program operations, manage budgets and performance, cultivate client relationships, hire and mentor staff, and design and implement adaptive program strategies. You'll also play a significant role in supporting program and account managers with data analysis, reporting, application review, forecasting, ### Engineering Manager, Fleet Reliability - Fal - Location: Remote (remote) - Salary: Not disclosed - Posted: 2026-05-14 - Apply: https://job-boards.greenhouse.io/fal/jobs/4248334009 - Excerpt: Engineering Manager, Fleet Reliability Remote fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About the role We're hiring an Engineering Manager to build and run Fleet Reliability: the function that keeps every GPU node we own provisioned, validated, and alive. The fleet is about to 10x. You'll hire the team, set the bar, write the playbooks, and own the operating model. You're a fit if you've: - 7+ years in infrastructure, software, or SRE, with 2+ years leading - Run a fleet reliability or hardware ops team in production - Built SRE fundamentals into a team from scratch: incident management, postmortems, observability, change management - Pushed teams toward automation over toil Who you are: - Player-coach. - Process-oriented without being bureaucratic - Allergic to toil. Every recurring problem is an automation opportunity - Carry the pager yourself before asking your team to Responsibilities: - Build and lead the Fleet Reliability team: hire, develop, retain - Own 24/7 ### Staff Backend Engineer - Adaptive Telemetry | Canada | Remote - Grafana Labs - Location: Canada (Remote) (remote) - Salary: CAD 186K-224K - Posted: 2026-02-11 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/grafanalabs/jobs/5799745004 - Excerpt: Staff Backend Engineer - Adaptive Telemetry | Canada | Remote Canada (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Adaptive Telemetry This is a remote position. We are looking for candidates in the Canadian time ### Machine Learning Engineer - Personalization - Spotify - Location: New York, NY (unspecified) - Salary: Not disclosed - Posted: 2026-04-27 - Apply: https://jobs.lever.co/spotify/dfbf550d-b099-4dd9-9228-15d921e46516 - Excerpt: Machine Learning Engineer - Personalization New York, NY The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. Our team's mission is to bring emerging search and agentic experiences to a mature state: exploring, defining, building, validating and optimizing new ideas. These can include new content types in our Search engine or emerging user interaction patterns. The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. Our team's mission is to bring emerging search and agentic experiences to a mature state: exploring, defining, building, validating and optimizing new ideas. These can include new content types in ### Machine Learning - Microsoft - Location: Mountain View, CA, US, Redmond, WA, US, New York, NY, US (unspecified) - Salary: Not disclosed - Posted: 2025-12-09 - 401(k) match: listed (not source-backed) - Apply: https://apply.careers.microsoft.com/careers/job/1970393556638358 - Excerpt: Machine Learning Mountain View, CA, US, Redmond, WA, US, New York, NY, US ### Engineer Radio Capacity F/H - Orange - Location: 6TH OF OCTOBER CITY, EGYPT (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://www.careers-page.com/orange-eg/job/V6YXVX9R/apply - Excerpt: Engineer Radio Capacity F/H 6TH OF OCTOBER CITY, EGYPT You will be part of a team of several radio dimensioning engineers, whose role is to help the subsidiaries embedded in the REC anticipate and adapt the capacity needs of the 2G/3G/4G/5G (6G in the fut... ### Senior Machine Learning Engineer, AdTech - Nexxen International - Location: New York, NY | [Remote] | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://jobs.ashbyhq.com/nexxen/e42cb0a4-e44c-4305-970b-6260ad466c6a - Excerpt: Senior Machine Learning Engineer, AdTech New York, NY | [Remote] | Remote ### Lead Teller - Frost Bank - Location: Mansfield, Texas, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-04-22 - Apply: https://frostbank.wd5.myworkdayjobs.com/External/job/Mansfield-TX/Lead-Teller_R260645-1/apply - Excerpt: Lead Teller Mansfield, Texas, United States of America Are you known for your ability to adapt quickly to fast-paced environments and embrace change with open arms? Provide guidance to tellers in complex customer transactions, and training for new tellers... ### Multi-Function Engineer - Warner Bros. Discovery - Location: Atlanta, Georgia, United States of America (remote) - Salary: Not disclosed - Posted: 2026-01-22 - 401(k) match: listed (not source-backed) - Apply: https://warnerbros.wd5.myworkdayjobs.com/global/job/GA-Atlanta-1050-Techwood-Drive-NW/Multi-Function-Engineer_R000102109/apply - Excerpt: Multi-Function Engineer Atlanta, Georgia, United States of America WBD is adapting remote (REMI) workflows to their portfolio and will be launching an area dedicated to remote productions called the Remote Operations Center (ROC). The ROC will be a multipurpose space... ### Manager I, Engineering - Applied AI - Natural Language & Conversational Interfaces - Datadog - Location: New York, New York, USA (unspecified) - Salary: $187K-$240K - Posted: 2026-01-23 - Non-birth-parent leave: 12 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://careers.datadoghq.com/detail/7560494/?gh_jid=7560494 - Excerpt: Manager I, Engineering - Applied AI - Natural Language & Conversational Interfaces New York, New York, USA Datadog's Applied AI group is building the AI capabilities that transform how users interact with our platform. Our Natural Language Query (NLQ) and Command-I (Cmd-I) teams are at the forefront of this transformation, enabling users to query telemetry data, investigate production issues, and configure Datadog through natural language and intelligent conversational agents. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists building natural language interfaces and conversational AI systems. Your teams will work on challenges spanning LLM-powered query translation, context-aware retrieval systems, agentic architectures, and evaluation frameworks. You will guide technical execution, support team growth, and collaborate across engineering, product, and research to deliver AI experiences that fundamentally change how customers use Datadog. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists building NLQ translation systems, conversational agents, or AI-powered interfaces Own the delivery of high-quality natural language capabilities, from semantic understanding and contextual retrieval to query generation and agentic reasoning Build products that create data flywheels: design systems that capture user intent and feedback to continuously improve model quality and train differentiating capabilities Drive evaluation and iteration practices for AI ### Associate Producer - Warner Bros. Discovery - Location: Yas South, Abu Dhabi, United Arab Emirates (unspecified) - Salary: Not disclosed - Posted: 2026-06-05 - 401(k) match: listed (not source-backed) - Apply: https://warnerbros.wd5.myworkdayjobs.com/global/job/Abu-Dhabi---CNN---Has-Creative-Hub-Yas-South/Associate-Producer_R000105764/apply - Excerpt: Associate Producer Yas South, Abu Dhabi, United Arab Emirates As an Associate Producer in the CNN Abu Dhabi Features team you will be an enthusiastic, organized, energetic team player, who can adapt to a fast-paced environment and has a passion for storytelling... ### Senior Machine Learning Engineer - Speech to Text - Nabla Bio - Location: Paris office (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/nabla/fd644d10-2eaa-492e-98e4-2fbacd9943aa - Excerpt: Senior Machine Learning Engineer - Speech to Text Paris office ABOUT NABLA We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we've harnessed the best of machine learning science to develop Nabla: the leading AI assistant that's restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We're at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we're hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! THE BEST OF AI AT THE SERVICE OF HEALTHCARE Nabla's phenomenal traction is the result of years of rigorous product and ML development. Led by former Meta AI Research engineers, our team continuously pushes the frontier of speech and language AI in real-world clinical environments. We operate at scale, processing billions of tokens and thousands of hours of audio every week. Yann LeCun, Meta's Chief AI Scientist and Turing award winner, is an advisor to Nabla. ENGINEERING AT NABLA Engineering at Nabla is lean, fast-moving, and deeply technical. Our teams ### Private Real Estate Administrator I - Frost Bank - Location: Dallas, Texas, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-06-09 - Apply: https://frostbank.wd5.myworkdayjobs.com/External/job/Dallas-TX---Uptown/Private-Real-Estate-Administrator-I_R260839-1/apply - Excerpt: Private Real Estate Administrator I Dallas, Texas, United States of America Are you known for your ability to adapt in everchanging fast-paced environments? Review legal documents and determine account ownership for initial setup, review TREM files for accuracy. Determine mar... ### Applied Scientist II, Advertising Incrementality Measurement - Amazon - Location: New York, New York, USA (unspecified) - Salary: $172K-$223K - Posted: 2026-05-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10411848/applied-scientist-ii-advertising-incrementality-measurement - Excerpt: Applied Scientist II, Advertising Incrementality Measurement New York, New York, USA Do you want to lead the Ads industry and redefine how we measure the effectiveness of Amazon Ads business? Are you passionate about causal inference, Deep Learning & AI, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to be a science leader within our Advertising Incrementality Measurement science team! Our work builds the foundations for providing customer-facing advertising measurement tools, furthering internal research & development, and building out Amazon's advertising measurement offerings. Incrementality is a lynchpin for the next generation of Amazon Advertising measurement solutions, and this role will play a key role in the release and expansion of these offerings. We are looking for a thought leader that has an aptitude for delivering customer-focused solutions and who enjoys working on the intersection of Big-Data analytics, Machine/Deep Learning, and Causal Inference. A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine learning and/or econometric modeling to solve business problems. You should have strong analytical and communication skills, be able to work with product managers to define key business questions and work with the engineering team to bring our solutions into production. You will join a highly collaborative and diverse ### Sr. Operations Manager Weekend Day - Lowe's - Location: Cheyenne, Wyoming, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Apply: https://lowes.wd5.myworkdayjobs.com/LWS_External_CS/job/Cheyenne-WY-RDC-0965/Sr-Operations-Manager-Weekend-Day_JR-02556115/apply - Excerpt: Sr. Operations Manager Weekend Day Cheyenne, Wyoming, United States of America We are looking for a Senior Operations Manager to oversee all operations and ensure the efficient movement of inventory through the facility. This role requires strong leadership skills and the ability to adapt to changing workflow conditions. ### Research Scientist, Dexterous Manipulation & Robot Learning - Lila Sciences - Location: Cambridge, MA USA (unspecified) - Salary: $176K-$304K - Posted: 2025-12-22 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4087170009 - Excerpt: Research Scientist, Dexterous Manipulation & Robot Learning Cambridge, MA USA Your Impact at LILA As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering. What You'll Be Building - Pioneering approaches for precise and dexterous robotic manipulation that leverage foundation models, reinforcement learning, diffusion-based methods, and human guidance to enable adaptive and intelligent robotic systems capable of complex tasks across diverse scientific environments - Developing novel human-robot interaction frameworks that incorporate imitation learning, and learning from human guidance, feedback, demonstrations and corrections, creating intelligent robotic agents that can seamlessly integrate with human scientific workflows and rapidly adapt to new experimental contexts - Advancing dexterous manipulation research through cutting-edge machine learning approaches, including diffusion models and adaptive learning algorithms, that synthesize multi-modal sensing (tactile, visual, and language) to develop generative skill representation sand sophisticated motor learning policies for intelligent robotic systems - Designing autonomous robotic systems with trust calibration mechanisms, enabling intelligent agents that can dynamically adjust their behaviors based on contextual information in complex scientific tasks What You'll Need to Succeed - Ph.D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for ### Agent Experience Designer, Voice (Multilingual) - Sierra - Location: San Francisco, CA, San Francisco, CA, United States (unspecified) - Salary: Not disclosed - Posted: 2026-02-10 - Fertility benefits: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/sierra/1a0e307f-7f02-4971-820c-a244ad909617 - Excerpt: Agent Experience Designer, Voice (Multilingual) San Francisco, CA, San Francisco, CA, United States About us - At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. - We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. - Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do You'll help shape and scale high-quality voice experiences across a global portfolio of AI agents. Working closely with cross-functional teams and customer stakeholders, you'll combine systems thinking, design judgment, and operational rigor to improve voice quality, accelerate multilingual readiness, and create more human experiences. - Improve breadth and depth of voice ### Applied Scientist, Alexa Smart Properties - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $143K-$193K - Posted: 2026-03-09 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3199958/applied-scientist-alexa-smart-properties - Excerpt: Applied Scientist, Alexa Smart Properties Seattle, Washington, USA Are you looking for an opportunity to build an LLM-based enterprise-grade, highly available, large scale solution? Does it excite you to find patterns and build generic, composable solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We are inventing Large Language Models (LLM)-driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties, AE extends Alexa's reach to premium third-party electronic devices. AE team is looking for a highly skilled and inventive Applied Scientist, with a strong machine learning background, to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases. As an Applied Scientist in the team, you will play a critical role in driving the development of conversational assistants, in particular those based on Large Language Models (LLM's), that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers' experiences. Key job responsibilities . You will analyze, understand and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. . You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use ### Enterprise Solution Architect - Billing, CPQ - Zuora - Location: Remote - United States (remote) - Salary: $150K-$195K - Posted: 2026-04-22 - Apply: https://boards.greenhouse.io/zuora/jobs/7386888?gh_jid=7386888 - Excerpt: Enterprise Solution Architect - Billing, CPQ Remote - United States About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models - from subscriptions and usage-based pricing to AI-driven and outcome-based offerings - helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We've led the Subscription Economy for more than a decade. Now we're evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity As a Zuora Enterprise Solution Architect (ESA), you will be a trusted partner and advisor to live, already-implemented customers. This role is focused on maximizing the value of Zuora solutions by aligning them with customers' strategic goals, optimizing Order-to-Revenue operations, and driving measurable business outcomes. You will deliver customized roadmaps, lead strategic workshops, and provide ongoing optimizations to ensure that Zuora's platform continues to meet customers' evolving needs. Acting as a key strategist, you'll guide customers through challenges and opportunities, helping them unlock the full potential of Zuora to support their long-term growth and success. Key Responsibilities Strategy Alignment - Collaborate with customers to understand their business objectives and develop phased, actionable roadmaps tailored to their strategic goals. - Design scalable solutions that evolve with customers' growth, ensuring long-term value creation and adaptability to changing business needs. - Prioritize frameworks that deliver measurable outcomes and align with best practices in subscription management and Order-to-Revenue processes. Strategic Advisory & Insights ### Machine Learning Engineer - Strava - Location: Strava SF, San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-04-03 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/strava/1a26eb08-d980-455a-9ce3-369795105ae0 - Excerpt: Machine Learning Engineer Strava SF, San Francisco, California, United States About Strava Strava is the app for active people. With over 180 million athletes in more than 185 countries, it's more than tracking workouts-it's where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava's got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale. This is an important role in the ML team and across Product teams designing, roadmapping, and implementing innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We also seek those who can improve the systems and tools behind the ML pipeline to further empower the team. We follow a flexible hybrid ### Applied Scientist Gen AI - Amazon Advertising, CreativeX - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $136K-$184K - Posted: 2026-05-11 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10416612/applied-scientist-gen-ai-amazon-advertising-creativex - Excerpt: Applied Scientist Gen AI - Amazon Advertising, CreativeX Seattle, Washington, USA Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (audio, images, videos, text) by building AI-driven solutions for advertisers. To accomplish this, we are investing in understanding how best users can leverage Generative AI methods such as latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforced learning (RL) and related. As an Applied Scientist you will be part of a close-knit team of other applied scientists and product managers, UX and engineers who are highly collaborative and at the top of their respective fields. We are looking for talented Applied Scientists who are adept at a variety of skills, especially at the Agentic AI, development and use of multi-modal Generative AI and can use state-of-the-art generative music and ### Sensor Fusion Engineer - Harmattan AI - Location: Morocco (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://jobs.ashbyhq.com/harmattan-ai/f49b4769-ed31-460c-bf38-6ecf1d3fba32 - Excerpt: Sensor Fusion Engineer Morocco About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role As a Sensor Fusion Engineer, you will adapt, tune, and validate our core sensor-fusion capability to work seamlessly with new and third-party sensor systems. Sitting within our product and engineering team, your mission is to turn raw sensor data into an accurate, coherent track picture as our systems incorporate additional sensors over time. This is an applied, field-willing engineering role. You will work hand-in-hand with our Integration Software Engineers (who deliver the sensor feeds) and support the deployment team for episodic, on-site tuning and validation against real-world sensor data. Durable fusion improvements you develop will flow directly back into our core product baseline. Responsibilities - Fusion Adaptation: Adapt existing sensor-fusion capabilities-including track correlation, data association, filtering/estimation, and track management-to accommodate new and third-party sensor characteristics. - Sensor Characterization: Analyze real-world sensor data to thoroughly understand its behavior, utilizing these insights to inform and refine fusion parameters and models. - Tuning & Optimization: Fine-tune fusion performance within specific operational contexts, ### Art Director - Lifecycle Engagement, XCM EU - Amazon - Location: London, England, GBR (unspecified) - Salary: Not disclosed - Posted: 2026-05-22 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10428321/art-director-lifecycle-engagement-xcm-eu - Excerpt: Art Director - Lifecycle Engagement, XCM EU London, England, GBR This role can be based in London, Paris, Milan or Madrid Amazon XCM is seeking an Art Director responsible for visual and motion execution across EU lifecycle engagement marketing programmes. These programmes require creative that can operate at speed, scale and iteration - with visual strategies that drive awareness, intent and purchase across the full funnel for key audience segments including New-to-Amazon Customers (NACs). The successful candidate will bring strong motion and social-first creative craft while ensuring visual quality and brand coherence across EU marketplaces. You will collaborate closely with the Lifecycle Engagement Copywriter on larger initiatives while also leading visual execution independently across multiple programmes. Visual frameworks and design systems must be built to accommodate the realities of EU execution - including language-specific layout variation, typographic adaptation, and execution across markets at different stages of digital maturity. Experience designing localisation-ready creative frameworks for multiple EU languages and markets is essential. Key job responsibilities - Lead visual and motion execution for mid-funnel programmes across acquisition, discovery, engagement and Prime initiatives - Develop scalable visual and motion frameworks that enable mid-funnel creative to adapt quickly across formats, channels and EU markets. - Partner closely with the Lifecycle Engagement Copywriter to bring campaign ideas to life - Ensure visual quality and brand coherence as mid-funnel creative scales across markets and formats - Develop scalable visual approaches suitable for localisation and adaptation across EU - Stay connected to emerging social platforms, motion formats ### Manager, Applied Science, Alexa AI - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-04-26 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10403459/manager-applied-science-alexa-ai - Excerpt: Manager, Applied Science, Alexa AI Bengaluru, Karnataka, IND The AURORA: Alexa Understanding, Runtime, ORchestration, and Applied sciences org is looking for an Applied Science Manager with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of Applied Scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and global impact. You will interact with a cross-functional team of Science, Product, and Engineering leaders. We are looking for an Applied Science Manager who will play a key role in the next generation of AI powered Conversational Assistants. Core Leadership & Team Management * Lead and manage applied scientists working on conversational AI capabilities across the full Alexa+ agent execution path * Build and develop high-performing science teams focused on understanding, reasoning, evaluation, and runtime systems * Foster cross-functional collaboration between science and engineering teams to deliver both customer-facing (CX) and developer-facing (DX) experiences Platform & Innovation * Develop modular, reusable platforms that enable 1P and 3P engineers and scientists to accelerate innovation * Transform how builders create conversational AI solutions at scale * Drive evaluation tooling and assessment frameworks to measure conversational experience quality Cross-Organizational Collaboration * Partner with teams across the organization to align goals and accelerate delivery * Navigate organizational changes and simplify interactions between components and teams * Establish clear communication channels and workflows across reporting lines Strategic Impact * Contribute to the team's mission of ### Machine Learning Engineer - Adobe Inc. - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 16 weeks (not source-backed) - Non-birth-parent leave: 16 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868 - Excerpt: Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago ### Principal Product Manager- Adapters - Axonius - Location: Tel Aviv, Israel (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://www.axonius.com/company/careers/open-jobs?gh_jid=7723453003 - Excerpt: Principal Product Manager- Adapters Tel Aviv, Israel Axonius is seeking a Principal Product Manager to lead our strategic Adapter Hub domain, which drives the platform's connectivity across more than 1,500 third-party system integrations. In this highly technical and impactful role, you will define the core configuration, onboarding, and error-handling user experiences while simplifying complex data mappings and action automations. You will collaborate closely with UX designers and an engineering team leveraging cutting-edge AI technologies to ensure enterprise customers seamlessly unlock the full value of their integrated technical ecosystems. Responsibilities - Analyze third-party enterprise architectures, APIs, and data models (such as AWS, GCP, ServiceNow, and Microsoft) to define functional product requirements and data mapping structures. - Own the end-to-end user experience for integration setup, configuration, onboarding, error handling, and alerting mechanisms. - Partner with UX design teams to translate intricate backend architectures and data-pull parameters into simple, intuitive user workflows and interfaces. - Collaborate with engineering teams to guide product decisions, scope milestones, and execute roadmap deliverables in an AI-forward development environment. Minimum Qualifications - 5+ years of Product Management experience delivering enterprise software, platform infrastructure, or data integration products. - Proven technical literacy with hands-on experience evaluating APIs, data models, and system integration architectures. - Demonstrated track record of designing complex user interfaces (UX) and translating deep technical capabilities into intuitive business-user workflows. - Professional proficiency in English and Hebrew with experience leading product delivery in high-velocity engineering environments. Preferred Qualifications - Professional background in software engineering, backend development, or ### Machine Learning Engineer - Speech & Multimodal Language Modeling - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-04-22 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200659167/machine-learning-engineer-speech-multimodal-language-modeling?team=MLAI - Excerpt: Machine Learning Engineer - Speech & Multimodal Language Modeling Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The Special Projects team at Apple is developing novel user-facing features that leverage the multimodal capabilities of state-of-the-art foundation language models. We are looking for a highly skilled Machine Learning Engineer to build and evaluate these experiences, with a specific focus on Multimodal and Speech Language Models. A successful candidate is experienced in evaluating complex foundation model-driven systems end-to-end, translating subjective product requirements into objective criteria, has strong statistical analysis skills, and has worked with Speech Language Models. Design and implement processes for evaluating and improving multi-modal generative models to meet end-to-end product requirements. Work with Data Engineers to process large scale speech audio data for foundation model training Fine-tune Large Language Models (LLMs) and Speech Language Models (SpeechLMs) to improve performance for specific use cases Work closely with other ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models Experimental design for testing models/systems under test Conduct robust statistical analysis to identify ### Senior Electrical Engineer - CHAOS Industries - Location: Hawthorne, California, United States (unspecified) - Salary: $130K-$210K - Posted: 2026-05-15 - Apply: https://job-boards.greenhouse.io/chaosindustries/jobs/5139455007 - Excerpt: Senior Electrical Engineer Hawthorne, California, United States CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage-domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com . Role Overview: CHAOS is seeking a Senior Electrical Test Systems Engineer to design, build, and maintain Special Test Equipment (STE), Ground Support Equipment (GSE), and Hardware-in-the-Loop (HIL) infrastructure used to develop, integrate, test, and validate advanced sensor, avionics, and embedded systems in R&D, production, and field environments. This role is responsible for the electrical architecture, integration, and sustainment of automated test racks, interface test adapters (ITAs), cable assemblies, instrumentation, and subsystem interconnects. The ideal candidate has experience developing complex electronic test systems using commercial instrumentation and industry-standard interfaces within aerospace, defense, or high-performance embedded system environments. This is a full-time, on-site position in El Segundo, CA. Responsibilities: - Design, develop, integrate, and sustain automated STE/GSE systems for sensor, avionics, and embedded hardware platforms - Architect test racks, interface test adapters (ITAs), cable assemblies, subsystem interconnects, and instrumentation interfaces - Integrate and troubleshoot commercial test equipment ### Founders Associate - Adaptyv - Location: Lausanne | OnSite (onsite) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/0fd9c492-3cb2-4cce-b495-3cab095a4fa6 - Excerpt: Founders Associate Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Founders Associate to own and build the operational backbone of the company as we scale. This is a high-ownership generalist role: you'll take entire ### Registered Nurse Internal Float - Ascension - Location: Hoffman Estates, Illinois, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-09 - Apply: https://ascensionjobs1-ascension.icims.com/jobs/445450/registered-nurse-internal-float/login - Excerpt: Registered Nurse Internal Float Hoffman Estates, Illinois, United States Join our team as a Registered Nurse Internal Float, where you will provide direct, patient-centered nursing care across multiple units. This role requires adaptability and strong communication skills to coordinate care effectively. ### Machine Learning Engineer - LLM - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$221K - Posted: 2026-02-19 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200647138/machine-learning-engineer-llm?team=MLAI - Excerpt: Machine Learning Engineer - LLM Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in building out a GenAI system in support of Beats and Apple Audio products. The ideal candidate thrives in ambiguity, is exceptionally organized, relentlessly detail-oriented, and an exceptional communicator at all levels of the organization. Minimum Qualifications: 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Ability to travel internationally - up to 10% Preferred Qualifications: Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning. Experience applying ML techniques in manufacturing, testing, or hardware optimization. Proficiency in using cutting-edge GenAI tools, i.e. Claude ### Medical Affairs Business Analyst - Pharma R&D - Roche Holding AG - Location: Madrid, Spain (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://roche.wd3.myworkdayjobs.com/roche-ext/job/Madrid/Medical-Affairs-Business-Analyst---Pharma-R-D_202605-112937-1/apply - Excerpt: Medical Affairs Business Analyst - Pharma R&D Madrid, Spain End-to-End Workstream Management: Independently drive and manage comprehensive business analysis workstreams, navigating ambiguous problem spaces and adapting standard frameworks to deliver clear, str... ### Accounts Payable Associate - Digital Realty - Location: Amsterdam, Noord-Holland, Netherlands (unspecified) - Salary: Not disclosed - Posted: 2026-04-14 - 401(k) match: listed (not source-backed) - Apply: https://hdep.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/7717 - Excerpt: Accounts Payable Associate Amsterdam, Noord-Holland, Netherlands With a can-do attitude and the ability to adapt to changing role requirements, you will be an integrated part of the P2P team. The ability to prioritise and excellent attention to detail is key for this face paced role. This position will report to the Invoice Processing Manager. ### Applied ML Engineer - Knowtex - Location: San Francisco | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/knowtex/0525f8eb-cea0-4d10-8d03-0750516e0dcf - Excerpt: Applied ML Engineer San Francisco | Hybrid | Remote About Knowtex Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we're experiencing explosive growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients. Position Overview We are seeking an Applied ML Engineer to productionize and scale machine learning systems powering our voice AI platform. This role bridges research and engineering - transforming models into reliable, low-latency, production-grade systems deployed across enterprise healthcare environments. You will work closely with ML Scientists, Backend Engineers, and Platform teams to optimize inference performance, build evaluation pipelines, and ensure robust model deployment in regulated environments. Key Responsibilities - Productionize ML models for real-time clinical applications - Optimize inference pipelines for low latency and high throughput - Deploy and scale models using AWS-based infrastructure - Build automated evaluation and regression testing frameworks for LLM outputs - Implement monitoring systems for model performance and drift detection - Collaborate with Backend teams to integrate ML services into APIs and workflows - Improve model efficiency through quantization, batching, caching, and optimization techniques Support specialty-level model evaluation and performance analysis - Contribute to CI/CD workflows for ML ### Machine Learning Engineer - Applied ML & Research - Super - Location: Croatia (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Apply: https://job-boards.eu.greenhouse.io/super/jobs/4842232101 - Excerpt: Machine Learning Engineer - Applied ML & Research Croatia We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Machine Learning Engineer in our Applied ML & Research team at Super, you will drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You will lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration. What the role involves Partner with product and engineering teams to identify and execute machine learning use cases that deliver measurable impact. Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components). Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring. Implement reliable training and inference pipelines, and help improve reproducibility, testing, and observability. Communicate model behaviour, trade-offs, and results clearly to both technical and non-technical stakeholders. Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices. What we are looking ### Registered Nurse Internal Float - Ascension - Location: Hoffman Estates, Illinois, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-09 - Apply: https://ascensionjobs1-ascension.icims.com/jobs/449562/registered-nurse-internal-float/login - Excerpt: Registered Nurse Internal Float Hoffman Estates, Illinois, United States Join our team as a Registered Nurse Internal Float, where you will provide direct, patient-centered nursing care across multiple units. If you are adaptable and skilled in coordinating care with interdisciplinary teams, we want to hear from you! ### Senior Machine Learning Engineer III - RELX - Location: Mexico (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://relx.wd3.myworkdayjobs.com/relx/job/Mexico/Senior-Machine-Learning-Engineer-III_R110959-2 - Excerpt: Senior Machine Learning Engineer III Mexico posted: Posted 8 Days Ago ### Occupational Therapy Assistant Inpatient - Ascension - Location: Wichita, Kansas, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-09 - Apply: https://ascensionjobs1-ascension.icims.com/jobs/449952/occupational-therapy-assistant-inpatient/login - Excerpt: Occupational Therapy Assistant Inpatient Wichita, Kansas, United States Join our team as an Occupational Therapy Assistant, where you will support patient recovery through personalized treatment plans and specialized therapeutic techniques. Collaborate with occupational therapists to monitor progress and empower patients with education on adaptive equipment for a safe transition home. --- Source-backed benefit claims include source links; other benefit values are labeled separately.